Quasi-online flood forecasting downstream of dams based on rainfall thresholds

• Published in: Hydrology Research Vol. 45; no. 4-5; pp. 519 - 528
• Main Authors: Saghafian, Bahram, Golian, Saeed, Khodadadi, Hossein
• Format: Journal Article
• Language: English
• Published: London International Water Association 01.01.2014; IWA Publishing
• Subjects: Algorithms; Computer simulation; Dam construction; Dams; Downstream; Downstream effects; Earth sciences; Earth, ocean, space; Elevation; Engineering and environment geology. Geothermics; Exact sciences and technology; Flood control; Flood forecasting; Flood management; Floods; Hydrology; Hydrology. Hydrogeology; Mathematical models; Natural hazards: prediction, damages, etc; Rain; Rainfall; Rainfall duration; Rainfall forecasting; Rainfall runoff; Rainfall-runoff modeling; Rainfall-runoff relationships; Reservoirs; River discharge; Runoff; Soil; Soil conditions; Soil moisture; Spatial distribution; Statistical methods; Thresholds; Water resources; Water supply; Watersheds; Middle East; Iran; Asia; real-time flood forecasting; algorithms; floods; models; efficiency; rainfall; soil moisture; Monte Carlo analysis; probability; neural networks; runoff; reservoirs; rain water; rainfall threshold; dams; neural network; spatial distribution; duration; drainage basins; depth; Monte Carlo; reservoir water elevation; discharge; water resource management

Dams are built to supply water to users and often to protect people and properties against floods in downstream areas. Efficiency of dams for flood control is improved substantially if a flood forecasting system is implemented. Rainfall threshold (RT) depths correspond to the occurrence of critical...